{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:CA3OTN2DK5ZHGR7E5KKRLKNT5N","short_pith_number":"pith:CA3OTN2D","canonical_record":{"source":{"id":"2103.05630","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T18:58:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b9e2721a63e42d3feb01dcadd45a10192fc008ce5f55df29559a732d8c87622e","abstract_canon_sha256":"b951f2f3cfe8478821a03383b69bbc0a7a51f32268ab0e4463bf9545402b341a"},"schema_version":"1.0"},"canonical_sha256":"1036e9b74357727347e4ea9515a9b3eb6e5abd7fd16965c6f2316202f5818f37","source":{"kind":"arxiv","id":"2103.05630","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.05630","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"2103.05630v2","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.05630","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"CA3OTN2DK5ZH","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"CA3OTN2DK5ZHGR7E","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"CA3OTN2D","created_at":"2026-07-05T02:57:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:CA3OTN2DK5ZHGR7E5KKRLKNT5N","target":"record","payload":{"canonical_record":{"source":{"id":"2103.05630","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T18:58:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b9e2721a63e42d3feb01dcadd45a10192fc008ce5f55df29559a732d8c87622e","abstract_canon_sha256":"b951f2f3cfe8478821a03383b69bbc0a7a51f32268ab0e4463bf9545402b341a"},"schema_version":"1.0"},"canonical_sha256":"1036e9b74357727347e4ea9515a9b3eb6e5abd7fd16965c6f2316202f5818f37","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:57:52.361074Z","signature_b64":"4L50YszbQaHFxMEPTUj3WQ++Bo8R8I/c1KLiWAFTnt2AT6mxoJUvDsqlmapxGXU6ujTnh+n7ji2Y88tQzxEmDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1036e9b74357727347e4ea9515a9b3eb6e5abd7fd16965c6f2316202f5818f37","last_reissued_at":"2026-07-05T02:57:52.360661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:57:52.360661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.05630","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:57:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOu+nwK7CM9rP38nrwqeWjn3Z87vdbRswgZxJ+5w+Ed6RcRNicf6o5QkrvJiJvwrOvpc2Bcjfma+COnkE2+2Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:26:37.926422Z"},"content_sha256":"575251190d8a0d4f20a08212f3c355befca1e4c994507b6b7a039d9c7e84810c","schema_version":"1.0","event_id":"sha256:575251190d8a0d4f20a08212f3c355befca1e4c994507b6b7a039d9c7e84810c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:CA3OTN2DK5ZHGR7E5KKRLKNT5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Bei Gan, Guojun Yin, Jing Shao, Luchuan Song, Lu Sheng, Siyu Chen, Yichun Zhou, Yinan He, Ziwei Liu","submitted_at":"2021-03-09T18:58:32Z","abstract_excerpt":"The rapid progress of photorealistic synthesis techniques has reached at a critical point where the boundary between real and manipulated images starts to blur. Thus, benchmarking and advancing digital forgery analysis have become a pressing issue. However, existing face forgery datasets either have limited diversity or only support coarse-grained analysis. To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (rea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.05630","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2103.05630/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:57:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+IdchZpDUHZvqXIGCVHNSfbWVhMwshwjlqJYoCWC5rYHysqpwxH3mO7rCdQKEI+mpUu37cPKvsKYDV8ZORgsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:26:37.926793Z"},"content_sha256":"24002e66b92a0f45c7f6f4bafa16859ec43b93a1b55a4ba409871a0f469484d9","schema_version":"1.0","event_id":"sha256:24002e66b92a0f45c7f6f4bafa16859ec43b93a1b55a4ba409871a0f469484d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N/bundle.json","state_url":"https://pith.science/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T17:26:37Z","links":{"resolver":"https://pith.science/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N","bundle":"https://pith.science/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N/bundle.json","state":"https://pith.science/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CA3OTN2DK5ZHGR7E5KKRLKNT5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CA3OTN2DK5ZHGR7E5KKRLKNT5N","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b951f2f3cfe8478821a03383b69bbc0a7a51f32268ab0e4463bf9545402b341a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T18:58:32Z","title_canon_sha256":"b9e2721a63e42d3feb01dcadd45a10192fc008ce5f55df29559a732d8c87622e"},"schema_version":"1.0","source":{"id":"2103.05630","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.05630","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"2103.05630v2","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.05630","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"CA3OTN2DK5ZH","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"CA3OTN2DK5ZHGR7E","created_at":"2026-07-05T02:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"CA3OTN2D","created_at":"2026-07-05T02:57:52Z"}],"graph_snapshots":[{"event_id":"sha256:24002e66b92a0f45c7f6f4bafa16859ec43b93a1b55a4ba409871a0f469484d9","target":"graph","created_at":"2026-07-05T02:57:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2103.05630/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid progress of photorealistic synthesis techniques has reached at a critical point where the boundary between real and manipulated images starts to blur. Thus, benchmarking and advancing digital forgery analysis have become a pressing issue. However, existing face forgery datasets either have limited diversity or only support coarse-grained analysis. To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (rea","authors_text":"Bei Gan, Guojun Yin, Jing Shao, Luchuan Song, Lu Sheng, Siyu Chen, Yichun Zhou, Yinan He, Ziwei Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T18:58:32Z","title":"ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.05630","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:575251190d8a0d4f20a08212f3c355befca1e4c994507b6b7a039d9c7e84810c","target":"record","created_at":"2026-07-05T02:57:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b951f2f3cfe8478821a03383b69bbc0a7a51f32268ab0e4463bf9545402b341a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T18:58:32Z","title_canon_sha256":"b9e2721a63e42d3feb01dcadd45a10192fc008ce5f55df29559a732d8c87622e"},"schema_version":"1.0","source":{"id":"2103.05630","kind":"arxiv","version":2}},"canonical_sha256":"1036e9b74357727347e4ea9515a9b3eb6e5abd7fd16965c6f2316202f5818f37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1036e9b74357727347e4ea9515a9b3eb6e5abd7fd16965c6f2316202f5818f37","first_computed_at":"2026-07-05T02:57:52.360661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:57:52.360661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4L50YszbQaHFxMEPTUj3WQ++Bo8R8I/c1KLiWAFTnt2AT6mxoJUvDsqlmapxGXU6ujTnh+n7ji2Y88tQzxEmDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:57:52.361074Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.05630","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:575251190d8a0d4f20a08212f3c355befca1e4c994507b6b7a039d9c7e84810c","sha256:24002e66b92a0f45c7f6f4bafa16859ec43b93a1b55a4ba409871a0f469484d9"],"state_sha256":"f7d61d8edfcd2d990053d59e2e6eeb083995de5ffce068fa89824072682da266"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KYuX6Jj8SKOysiVb+94tYrn8nSZvAwTvJ7y7qMNeG0R7NoviNheqPO8W40xuKKqkIYCrDg1az3WhB4n8yG7nBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:26:37.928869Z","bundle_sha256":"907de75d43035b7ce4367721d95475a0624ceff6f6bd50fd62453e4b27b0ae51"}}